AI+ Quantum
AI+ Quantum: Explore AI in quantum computing. Learn quantum gates, circuits, algorithms, and their AI applications. Covers quantum machine learning, deep learning, and practical AI skills for quantum technologies.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
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Prerequisites:
Required:
- A foundational knowledge of AI concepts, no technical skills are required.
- Willingness to exploring unconventional approaches to problem-solving within the context of AI and Quantum.
- Openness to engage critically with ethical dilemmas and considerations related to AI technology in quantum practices.
Recommended:
- AI+ Executive or AI+ Everyone
Target Audience:
- AI Engineer
- IT Professional
Course Objectives:
- Gain a foundational understanding of Artificial Intelligence and Quantum Computing concepts and techniques.
- Learn about Quantum Computing Gates, Circuits, and Algorithms, and their applications in AI.
- Explore Quantum Machine Learning and Quantum Deep Learning, focusing on algorithms for regression, classification, and neural networks.
- Understand the ethical considerations in AI and Quantum Computing, ensuring responsible implementation and development.
- Stay updated on current trends, future outlooks, and practical use-cases in AI and Quantum Computing.
Course Outline:
Overview of Artificial Intelligence (AI) and Quantum Computing
- Artificial Intelligence Refresher
- Quantum Computing Refresher
Quantum Computing Gates, Circuits, and Algorithms
- Quantum Gates and their Representation
- Multi Qubit Systems and Multi Qubit Gates
Quantum Algorithms for AI
- Core Quantum Algorithms
- QFT and Variational Quantum Algorithms
Quantum Machine Learning
- Algorithms for Regression and Classification
- Algorithms for Dimensionality and Clustering
Quantum Deep Learning
- Algorithms for Neural Networks – Part I
- Algorithms for Neural Networks – Part II